Lesson 1 of 3
Cloud Pricing Models & Billing Fundamentals
Understand on-demand, reserved, spot, and savings-based pricing so you can evaluate commitment and discount decisions in exam scenarios.
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Why Pricing Models Matter on the Exam
The exam regularly presents scenarios where an organization is overspending on on-demand compute when Reserved Instances or Savings Plans would reduce their bill by 40–70%. Understanding when each pricing model is appropriate—and the risks of each—allows you to give the practitioner-aligned recommendation.
Pricing Model Trade-offs
On-Demand
- No commitment, full flexibility
- Highest per-unit rate
- Best for unpredictable workloads
- Safe for new or experimental services
Reserved / Committed
- 1 or 3-year term commitment
- 40–70% discount vs. on-demand
- Best for stable, predictable workloads
- Risk: unused commitments are wasted spend
Spot / Preemptible
- Up to 90% discount
- Can be interrupted with little warning
- Best for fault-tolerant batch workloads
- Not suitable for production web services
AWS Savings Plans offer more flexibility than Reserved Instances—they apply across instance families and regions. The trade-off is that they commit at an hourly spend level rather than a specific instance type. Exam scenarios that involve frequent instance type changes favor Savings Plans over RIs.
When Each Model Applies
- On-demand: dev/test environments, variable-load applications, new workloads without usage history.
- Reserved Instances: databases, always-on services with stable instance type requirements.
- Savings Plans: compute-heavy environments where instance types may change over time.
- Spot/Preemptible: batch jobs, data processing pipelines, rendering, CI/CD build agents.
Pricing model selection is a risk and commitment decision, not just a cost decision.
Practice this topic
Reinforce this lesson with scenario questions tagged Cloud Billing, Rate Optimization, Reserved Instances.
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